Senior Data Engineer

Who we are

At Scene+, we foster an entrepreneurial spirit that drives our mission: making tomorrow even more rewarding for our members. As a unique joint venture between Cineplex, Empire, and Scotiabank, and a network of partners, we have spent almost 20 years delivering unparalleled rewards and experiences.

As we scale and evolve, our focus on innovation and technology is redefining what it means to be an iconic brand that prioritizes a member-centric experience. Data is not just a tool for us. it’s the engine powering our growth strategy and our journey to becoming Canada’s most beloved loyalty program. We leverage it to provide personalized rewards and create meaningful connections with our members.

Joining Scene+ now means stepping into a role where your passion and skills can make a tangible impact on millions of members. With rewards for every lifestyle, we believe there’s always something to look forward to. Come be a part of our journey - create exceptional outcomes, collaborate across teams, and shape the future with us.

Who we need

Reporting to the Senior Manager, Data Engineering and Data Governance, we are looking for a Senior Data Engineer who will play a pivotal role in shaping the next generation of Scene+’s data ecosystem. You will build and optimize the pipelines, models, and workflows that power analytics, loyalty strategy, partner insights, and enterprise decision-making across millions of members and dozens of partners. By introducing modern engineering approaches, automation patterns, and architectural improvements that accelerate our maturity, you will elevate the performance, reliability, and governance of our cloud-native platform. 

This is an opportunity to influence technical direction, collaborate deeply across analytics, marketing, product, and governance teams, and strengthen our organization’s ability to operate from high-quality, trustworthy, insight-ready data.

This job posting is for an existing vacancy that is a full-time, hybrid role working three days per week on site in our Toronto office.

What is in it for you

Leadership and impact. You will operate inside one of Canada’s largest customer ecosystems, with millions of members and multi-partner data flowing through the systems you build. Your engineering decisions will directly shape how Scene+ understands loyalty behaviour, drives partner value, and scales its next chapter of growth.

Operational excellence. You will work at the core of a modern cloud-native environment -Snowflake, AWS, Matillion, Salesforce Data Cloud - driving automation, governance, and performance improvements that strengthen the entire analytics foundation.

Ownership. You will help define the blueprint for Scene+’s next-generation data platform modernizing CI/CD, strengthening observability, improving lineage and metadata frameworks, and advancing engineering standards across the organization. You will own meaningful components of the platform and leave a lasting architectural imprint.

Technical challenges. You will work with massive datasets, rapidly evolving partners, and an ecosystem undergoing significant expansion. This is an opportunity to solve complex problems at national scale designing systems that must be resilient, automated, and capable of supporting the next wave of growth across Canada.

Accelerated professional growth. You will 10X your technical experience, gaining breadth and depth across cloud platforms, data transformation tools, orchestration patterns, CI/CD, and scalable architecture. You will gain visibility with senior leadership, lead complex technical discussions, and build the influence, communication, and architectural depth required to step into future technical or people-lead roles.

As our new Senior Data Engineer, you will:

• Ensure operational data excellence. You will architect, maintain, and refine production-grade pipelines, ensuring they are performant, resilient, and scalable. You will automate workflows end-to-end, proactively identify and resolve issues, and continuously improve data quality. You will centralize data into Snowflake and transform it into analytics-ready structures that power the organization. You will write, debug, and operate production code using Python, SQL, and cloud-native tools, applying rigorous engineering practices including code reviews, branching strategies, and CI/CD pipelines. You will provide clear and timely updates to stakeholders on proposed solutions, timelines, progress, and any challenges that may arise.
• Support strategic data governance. You will champion the creation of high-quality, well-documented, trustworthy data. You will work closely with privacy, security, and compliance teams to strengthen governance practices across key areas, including metadata, lineage, classification, and access management. You will help evaluate tools, frameworks, and standards that enhance the visibility, reliability, and structure of enterprise data. You will ensure all data solutions meet organizational control and compliance requirements, balancing speed with long-term stability and governance.
• Enable analytics and data science. You will design the foundational tables, models, and workflows that allow analytics and data science teams to work efficiently and holistically. You will unify data from disparate systems and ensure it is structured in a way that facilitates accelerated insights and informed decision-making. You will design and enhance integrations with internal and external APIs, ensuring reliability, observability, and long-term maintainability. You will continuously identify opportunities to simplify processes, reduce manual effort, and scale analytical capabilities.
• Manage technology. You will work across our cloud-native ecosystem, including AWS, Snowflake, Matillion Data Productivity Cloud, dbt core/cloud, Tableau Cloud, Salesforce Data Cloud, Salesforce Loyalty Management, and Salesforce Marketing Cloud, optimizing performance, recommending improvements, and contributing to architectural evolution. You will also support our transition to modern orchestration patterns using Airflow (or similar), strengthening automation, monitoring, and system-wide reliability.

You bring:

• The data expertise. You have extensive experience as a senior data engineer working with large and complex datasets. You excel at designing and building scalable data pipelines, optimizing data models, and automating workflows to drive efficiency and effectiveness. You have strong experience with Snowflake, Python, SQL, and cloud platforms -  preferably AWS -and have hands-on experience with ETL/ELT tools (Matillion or dbt core/cloud experience is an asset but not required). You understand data governance, best practices for documentation, observability, and data quality assurance.
• The technical skills. You set a high standard for engineering quality and demonstrate a strong command of modern data engineering practices. You are comfortable designing end-to-end solutions, improving CI/CD processes, and applying best-in-class development patterns. You are a clear and confident presenter who can translate technical concepts across diverse audiences and collaborate effectively with both internal teams and external vendors.
• The project management skills. You can manage multiple projects simultaneously, overseeing scope, expectations, and timelines. You communicate proactively, identify risks early, and keep teams aligned. You can adapt plans, respond to evolving business needs, and consistently deliver high-quality work in a dynamic environment.
• The leadership skills. You are an engineering leader who thrives in complex, high-scale environments and sees data infrastructure as a strategic asset, not just a technical function. You are a proven partner and collaborator who can influence without authority, elevate technical decisions, and help shape the culture of engineering excellence. You can build trust quickly, communicate with clarity, and bring an analytical, solutions-focused mindset to every challenge. You demonstrate the capability and ambition to grow into a leadership role, while excelling as a senior technical contributor who raises the performance of the entire team.

Compensation

At Scene+, we believe that compensation should be transparent, fair, and market competitive. Our salary ranges are designed to represent the progression from learning the role to truly mastering it. 

This role has a minimum base salary of $100K, and a maximum base salary of $115K. Our approach to compensation supports each person’s unique knowledge, skills, abilities, complexity of the role and balances it with internal equity to support a fair and competitive salary. The higher end of the range is reserved for those who have demonstrated deep expertise, while offers closer to the minimum reflect strong potential with room to develop.  

Base salary is just one part of our total rewards package which also includes, health and wellness benefits, employer-matched RRSP savings, a performance-based bonus program, and many more perks including free movies and free grocery delivery!  

Join us.

We are a dynamic and agile organization that works collaboratively to anticipate and meet the business needs of our partners and the lifestyle needs of our members. People who thrive at Scene+ are mission-driven and eager to contribute to a brand that’s shaping the future of loyalty. As part of our team, you will excel in an environment that values ownership and practical, intelligent solutions. You will have the chance to create and refine processes, identify and address challenges with scalable solutions, and introduce best practices that drive our success.

Our values guide our work, and we consistently measure our progress against these principles.

• Member Focus: We prioritize the needs and experiences of our members in everything we do.
• Teamwork: We believe in the power of collaboration and working together to achieve our goals.
• Continuous Improvement: We strive for excellence by constantly seeking ways to improve and innovate.
• Integrity: We uphold the highest standards of honesty and transparency in our actions.
• Results Driven: We are committed to achieving outstanding outcomes and delivering value.
• Passion: We are passionate about our work and dedicated to making a positive impact.

What you can expect from our interview process:

• A virtual interview with a Talent Advisor discussing your interest in the role and the company. The conversation will be recorded using BrightHire, an AI-powered video interview tool. More details will be shared when you are invited to interview.
• An in-person interview with the Senior Manager, Data Engineering and Data Governance. This conversation will focus on your technical depth, hands-on experience with data pipelines, governance practices, and your approach to building scalable, reliable solutions.
• A virtual interview with the Director of Analytics. You will explore how you partner with cross-functional stakeholders, translate business needs into data solutions, and contribute to broader analytics strategy.
• A virtual interview with the SVP, Analytics and Operations. This will be an opportunity to ask higher-level questions about the team’s vision and the company’s priorities.

Apply now.

If you have 70% of what we're looking for and 100% authenticity and passion, express your interest here. Please contact us by email at View email address on scene.applytojob.com and let us know what accommodations or assistance we can provide you during the application process.

At Scene+, we're committed to diversity, equity, and inclusion. We strive to integrate these values into everything we do, from our partners and offers to our teams and interactions. We welcome and appreciate candidates from diverse backgrounds, including women, persons with disabilities, Black, Indigenous and People of Colour (BIPOC), the LGBTQ2SIA+ community, and other equity-seeking groups.

How We Use AI in our Interview Process:

At this time, we do not use artificial intelligence (AI) tools to screen, assess or select applicants. For video interviews, we may use BrightHire, an AI-powered video interview tool, for recording purposes.

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